Mingming Fan, Ph.D.

I am an Assistant Professor in the School of Information, Golisano College of Computing and Information Sciences at the Rochester Institute of Technology since August 2019. I received a Ph.D. in CS from the University of Toronto in July 2019.

I lead the Intelligent and Inclusive Interaction Research Group at RIT. I am also a member of the Center for Accessibility and Inclusion Research (CAIR) and an affiliated member of the Center for Human-Aware Artificial Intelligence (CHAI).

I research at the intersection of Human-Computer Interaction (HCI), Accessibility, and Artificial Intelligence (AI). My research focuses on understanding User Experience (UX) and Accessibility problems via user-centered approaches and addressing them via building human-AI collaborative tools, assistive technologies, and novel interaction methods.

• Human-AI Collaboration for Identifying UX Problems (AI-Assisted UX Analysis)
  • Understanding Users' Subtle Behavioral Patterns Indicating UX Problems
    e.g., What are subtle behavioral patterns that indicate UX problems? (TOCHI'19, CHI'21)
  • Building AI Models to Detect UX Problems
    e.g., Could AI be built to detect UX problems? (TiiS'20)
  • Designing AI-Assistive Tools to Support UX Evaluators
    e.g., How to design AI-Assisted interactive tools to help UX practitioners analyze UX test sessions? (TVCG'20)
• Aging and Accessibility
  • Understanding Accessibility Challenges via User-Centered Design
    e.g., How to design user-friendly instructions for older adults? (TACCESS'18)
    e.g., Could mobile and wearable technology be designed as memory-aid for older adults? (IMWUT'19)
  • Designing and Evaluating Assistive Technology
    e.g., How to design eyelid gestures for people with motor impairments to support hands-free interaction? (ASSETS'20)
    e.g., How to design an easy-to-learn gesture-based text-entry method for people with visual impairments? (ASSETS'17)
• Mobile, Wearable, and Ubiquitous Sensing & Interaction Techniques
  • Novel Sensing Techniques
    e.g., How to unobstrusively monitor the content level inside a container? (UbiComp'15 (Best Paper Honorable Mention Award))
    e.g., How to nonintrusively infer the type of physical space a user is in? (ISWC'14)
  • Novel Interaction Techniques
    e.g., How to enhance VR users' experiences by providing them with non-visual sensations? (CHI'20)